GPU accelerated image processing for everyone
Copies an image.
f(x) = x
Category: Transformations
Ext.CLIJ2_copy(Image source, Image destination);
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance(); // get input parameters ClearCLBuffer source = clij2.push(sourceImagePlus); destination = clij2.create(source);
// Execute operation on GPU clij2.copy(source, destination);
// show result destinationImagePlus = clij2.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clij2.release(source); clij2.release(destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters source = clij2.pushMat(source_matrix); destination = clij2.create(source);
% Execute operation on GPU clij2.copy(source, destination);
% show result destination = clij2.pullMat(destination) % cleanup memory on GPU clij2.release(source); clij2.release(destination);
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters source_sequence = getSequence(); source = clij2.pushSequence(source_sequence); destination = clij2.create(source);
// Execute operation on GPU clij2.copy(source, destination);
// show result destination_sequence = clij2.pullSequence(destination) Icy.addSequence(destination_sequence); // cleanup memory on GPU clij2.release(source); clij2.release(destination);
import pyclesperanto_prototype as cle cle.copy(source, destination)
allocateBigImages.ijm
applyVectorField.ijm
division_visualisation.ijm
memory_reuse_versus_reallocation.ijm
motionCorrection.ijm
motionCorrection_compare_stackreg.ijm
process_5D_stack.ijm
rotateFree.ijm
rotateOverwriteOriginal.ijm
rotating_sphere.ijm
scaleFree.ijm
translate.ijm
tribolium_morphometry.ijm
applyVectorField.py
interactiveCylinderProjection.py
interactiveSphereProjection.py
rotateFree.py
rotateOverwriteOiginal.py